US11170039B2 - Search system, search criteria setting device, control method for search criteria setting device, program, and information storage medium - Google Patents

Search system, search criteria setting device, control method for search criteria setting device, program, and information storage medium Download PDF

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US11170039B2
US11170039B2 US15/031,269 US201315031269A US11170039B2 US 11170039 B2 US11170039 B2 US 11170039B2 US 201315031269 A US201315031269 A US 201315031269A US 11170039 B2 US11170039 B2 US 11170039B2
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item
user
word
search condition
product
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US20160267107A1 (en
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Soh Masuko
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Rakuten Group Inc
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Rakuten Group Inc
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5846—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using extracted text
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0641—Shopping interfaces
    • G06Q30/0643—Graphical representation of items or shoppers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2453—Query optimisation
    • G06F16/24534—Query rewriting; Transformation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/3332—Query translation
    • G06F16/3338—Query expansion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482—Interaction with lists of selectable items, e.g. menus
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G06F3/04842—Selection of displayed objects or displayed text elements

Definitions

  • the present invention relates to a search system, a search condition setting device, a control method for a search condition setting device, a program, and an information storage medium.
  • search system configured to set, when a user selects any one of items displayed on an item list screen, a search condition for searching for an item similar to the item selected by the user based on a word contained in text information associated with the item selected by the user.
  • a product search system described in Non Patent Literature 1 has a function of setting, when a user selects any one of products displayed on a product list screen, a search condition for searching for a product similar to the product selected by the user.
  • a “similar product search” link button is associated with each product.
  • a plurality of keywords are automatically extracted from a title (name) of the product, and a product including all of the plurality of keywords is searched for.
  • Non Patent Literature 1 “Yahoo! product search help”, [online], [retrieved on Oct. 18, 2013], Internet ⁇ http://www.yahoo-help.jp/app/answers/detail/p/586/a_id/42567/>
  • each store registers a title of a product.
  • Each store tends to include various keywords in a title of a product in order for the product to match various search keywords.
  • a keyword unnecessary for searching for a similar product is extracted from the title of the product and such a keyword is included in a search condition.
  • an accuracy of the search condition for searching for a similar product deteriorates and such a search result as to satisfy the user cannot be acquired as a search result for a similar product.
  • the present invention has been made in view of the above-mentioned problem, and it is an object of the present invention to provide a search system, a search condition setting device, a control method for a search condition setting device, a program, and an information storage medium capable of improving an accuracy of a search condition in a case where the search condition for searching for an item similar to an item selected by a user is set based on a word contained in text information associated with the item selected by the user.
  • a search system includes: item extraction means for extracting, when a user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user; word acquisition means for acquiring a word that is contained in text information associated with the item selected by the user and is not contained in text information associated with the at least one item extracted by the item extraction means; search condition setting means for setting a search condition for searching for an item that is similar to the item selected by the user based on the word acquired by the word acquisition means; and search execution means for executing a search based on the search condition.
  • a search condition setting device includes: item extract ion means for extracting, when a user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user; word acquisition means for acquiring a word that is contained in text information associated with the item selected by the user and is not contained in text information associated with the at least one item extracted by the item extraction means; and search condition setting means for setting a search condition for searching for an item that is similar to the item selected by the user based on the word acquired by the word acquisition means.
  • a control method for a search condition setting device includes: an item extraction step of extracting, when a user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user; a word acquisition step of acquiring a word that is contained in text information associated with the item selected by the user and is not contained in text information associated with the at least one item extracted in the item extraction step; and a search condition setting step of setting a search condition for searching for an item that is similar to the item selected by the user based on the word acquired in the word acquisition step.
  • a program is a program for causing a computer to function as: item extraction means for extracting, when a user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user; word acquisition means for acquiring a word that is contained in text information associated with the item selected by the user and is not contained in text information associated with the at least one item extracted by the item extraction means; and search condition setting means for setting a search condition for searching for an item that is similar to the item selected by the user based on the word acquired by the word acquisition means.
  • an information storage medium is a computer-readable information storage medium storing a program for causing a computer to function as: item extraction means for extracting, when a user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user; word acquisition means for acquiring a word that is contained in text information associated with the item selected by the user and is not contained in text information associated with the at least one item extracted by the item extraction means; and search condition setting means for setting a search condition for searching for an item that is similar to the item selected by the user based on the word acquired by the word acquisition means.
  • the item extraction means may extract, from among the items that are not selected by the user, an item that is not the same as and is not similar to the item selected by the user.
  • the item extraction means may extract, from among the items that are not selected by the user, an item associated with an image that is not the same as and is not similar to an image associated with the item selected by the user.
  • the item extraction means may include: means for acquiring similarity degrees between the image associated with the item selected by the user and each image associated with the items that are not selected by the user; and means for extracting an item having the similarity degree that is less than a threshold value from among the items that are not selected by the user.
  • the item extraction means may include means for acquiring similarity degrees between the image associated with the item selected by the user and each image associated with the items that are not selected by the user, and the item extraction means may not extract an item having the similarity degree that is larger than a threshold value from among the items that are not selected by the user.
  • the item extraction means may include: means for acquiring similarity degrees between the image associated with the item selected by the user and each image associated with the items that are not selected by the user; and means for extracting a predetermined number of items in an order starting from an item having the lowest similarity degree from among the items that are not selected by the user.
  • the item extraction means may extract, from among the items that are not selected by the user, an item associated with identification information that is different from identification information associated with the item selected by the user.
  • the item extraction means may extract the at least one item from among the items that are not selected by the user based on degrees of separation between a display position on a screen of the item selected by the user and each of display positions on the screen of the items that are not selected by the user.
  • the item extraction means may extract an item having a degree of separation from the display position of the item selected by the user that is less than a predetermined degree from among the items that are not selected by the user.
  • the search system may include means for acquiring a duplicate word, the duplicate word being a word having a meaning that is the same as or is similar to that of a word that is contained in text information associated with an item associated with an image that is the same as or is similar to an image associated with the item selected by the user among words contained in text information associated with the item selected by the user, and the search condition setting means may set the search condition based on the word acquired by the word acquisition means and the duplicate word.
  • the search system may include means for acquiring a duplicate word, the duplicate word being a word having a meaning that is the same as or is similar to that of a word that is contained in text information associated with an item associated with identification information that is the same as or is similar to identification information associated with the item selected by the user among words contained in text information associated with the item selected by the user, and the search condition setting means may set the search condition based on the word acquired by the word acquisition means and the duplicate word.
  • the search system may include means for acquiring, when the user selects a plurality of items, a duplicate word that corresponds to words whose meanings are the same or similar with each other and which are contained duplicately in pieces of text information associated with the plurality of items selected by the user, and the search condition setting means may be configured to set the search condition based on the word acquired by the word acquisition means and the duplicate word.
  • a search condition setting device includes: item extract ion means for extracting, when a user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user; category comparison means for comparing a category of the item selected by the user with a category of the at least one item extracted by the item extraction means; and search condition setting means for setting, when the category of the item selected by the user is different from the category of the at least one item extracted by the item extraction means, a search condition for searching for an item that is similar to the item selected by the user among items that do not belong to the category of the at least one item extracted by the item extraction means.
  • a control method for a search condition setting device includes: an item extraction step of extracting, when a user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user; a category comparison step of comparing a category of the item selected by the user with a category of the at least one item extracted in the item extraction step; and a search condition setting step of setting, when the category of the item selected by the user is different from the category of the at least one item extracted in the item extraction step, a search condition for searching for an item that is similar to the item selected by the user among items that do not belong to the category of the at least one item extracted in the item extraction step.
  • a program is a program for causing a computer to function as: item extraction means for extracting, when a user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user; category comparison means for comparing a category of the item selected by the user with a category of the at least one item extracted by the item extraction means; and search condition setting means for setting, when the category of the item selected by the user is different from the category of the at least one item extracted by the item extraction means, a search condition for searching for an item that is similar to the item selected by the user among items that do not belong to the category of the at least one item extracted by the item extraction means.
  • the search condition for searching for an item similar to the item selected by the user is set based on a word contained in text information associated with the item selected by the user.
  • FIG. 1 is a diagram for illustrating an example of an overall configuration of an electronic commerce system (search system) according to an embodiment of the present invention.
  • FIG. 2 is a diagram for illustrating an example of a search screen.
  • FIG. 3 is a diagram for illustrating another example of the search screen.
  • FIG. 4 is a diagram for illustrating still another example of the search screen.
  • FIG. 5 is at able for showing an example of a product information table.
  • FIG. 6 is a functional block diagram for illustrating an example of functions implemented in an electronic commerce system according to the first embodiment and the second embodiment.
  • FIG. 7 is a diagram for illustrating an example of processing to be executed in the electronic commerce system according to the first embodiment.
  • FIG. 8 is a functional block diagram for illustrating an example of functions implemented in an electronic commerce system according to the third embodiment.
  • FIG. 9 is a diagram for illustrating an example of processing to be executed in the electronic commerce system according to the third embodiment.
  • FIG. 10 is a functional block diagram for illustrating an example of functions implemented in an electronic commerce system according to the fourth embodiment.
  • FIG. 11 is a diagram for illustrating an example of processing to be executed in the electronic commerce system according to the fourth embodiment.
  • FIG. 1 is an illustration of an example of an overall configuration of an electronic commerce system 1 (search system) according to the first embodiment of the present invention.
  • the electronic commerce system 1 includes a server 10 , a database 15 , a user terminal 20 , and a store terminal 4 .
  • the server 10 , the user terminal 20 , and the store terminal 4 are connected to a communication network 2 , which is configured to include, for example, the Internet or the like.
  • a communication network 2 which is configured to include, for example, the Internet or the like.
  • Mutual data communication is available between the server 10 and the user terminal 20
  • mutual data communication is also available between the server 10 and the store terminal 4 .
  • the server 10 is a server which functions as a portal of the virtual shopping mall. As illustrated in FIG. 1 , the server 10 includes a control unit 11 , a storage unit 12 , a communication unit 13 , and an optical disc drive unit 14 .
  • the control unit 11 includes one or a plurality of microprocessors and executes information processing in accordance with a program stored in the storage unit 12 .
  • the storage unit 12 includes a main memory unit (e.g., RAM) and an auxiliary storage unit (e.g., ROM, hard disk drive, or solid state drive).
  • the communication unit 13 is configured to execute data communication via the communication network 2 .
  • the optical disc drive unit 14 is configured to read a program or data recorded on an optical disc (information storage medium).
  • the program or data is supplied to the storage unit 12 via an optical disc (information storage medium).
  • the program or data stored on the optical disc is read by the optical disc drive unit 14 and stored in the storage unit 12 .
  • the server 10 may include a component (e.g., memory card slot unit) configured to read a program or data stored in an information storage medium other than the optical disc (e.g., memory card). Then, the program or data may be supplied to the storage unit 12 via the information storage medium other than the optical disc. Further, a program or data may be supplied to the storage unit 12 via the communication network 2 .
  • a component e.g., memory card slot unit
  • the server 10 may include a component (e.g., memory card slot unit) configured to read a program or data stored in an information storage medium other than the optical disc (e.g., memory card). Then, the program or data may be supplied to the storage unit 12 via the information storage medium other than the optical disc. Further, a program or data may be supplied to the storage unit 12 via the communication network 2 .
  • a component e.g., memory card slot unit
  • the server 10 can access the database 15 .
  • the database 15 stores, for example, data on a user who uses the virtual shopping mall, data on a store opened in the virtual shopping mall, data on a product available in the virtual shopping mall, and data on a history of a transaction made in the virtual shopping mall.
  • the database 15 may be built in a server other than the server 10 , or may be built in the server 10 .
  • the user terminal 20 is an information processing device to be used by a user.
  • the user terminal 20 is a mobile phone (including smartphone), a tablet computer, a laptop computer, or a desktop computer.
  • the user terminal 20 includes a control unit 21 , a storage unit 22 , a communication unit 23 , an operation unit 24 , a display unit 25 , and an audio output unit 26 .
  • the control unit 21 , the storage unit 22 , and the communication unit 23 are similar to the control unit 11 , the storage unit 12 , and the communication unit 13 of the server 10 .
  • a program or data is supplied to the storage unit 22 via the communication network 2 .
  • the user terminal 20 may include a component (e.g., optical disc drive unit or memory card slot unit) configured to read a program or data stored in an information storage medium (e.g., optical disc or memory card). Then, the program or data may be supplied to the storage unit 22 via the information storage medium (e.g., memory card).
  • a component e.g., optical disc drive unit or memory card slot unit
  • an information storage medium e.g., optical disc or memory card
  • the operation unit 24 is used by a user for operation.
  • a pointing device for specifying a position in a screen displayed on the display unit 25 is included in the user terminal 20 , the pointing device corresponds to the operation unit 24 . That is, for example, a mouse, a stick, a touch pad, or a touch panel overlaid on the display unit 25 corresponds to the operation unit 24 .
  • the display unit 25 is, for example, a liquid crystal display or an organic EL display, and is configured to display various screens.
  • the audio output unit 26 is, for example, a speaker or headphones, and is configured to output various sounds.
  • the store terminal 4 is an information processing device that is provided in the store opened in the virtual shopping mall.
  • the store terminal 4 is used to register information on a product to be sold in the virtual shopping mall and other types of information in the database 15 via the server 10 .
  • the store terminal 4 is a tablet computer, a laptop computer, or a desktop computer.
  • the store terminal 4 has a hardware configuration similar to that of the user terminal 20 .
  • a daemon program (e.g., HTTP daemon) is executed on the server 10 .
  • a program e.g., web browser
  • a processing request (e.g., HTTP request) is transmitted from the user terminal 20 to the server 10 .
  • a processing result e.g., HTTP response
  • data described in a page description language is transmitted to the user terminal 20 .
  • a screen that is based on the processing result is displayed on the display unit 25 of the user terminal 20 on the basis of this data. Note that, similar processing is performed between the store terminal 4 and the server 10 .
  • the screen described below is displayed through execution of a data communication between the user terminal 20 and the server 10 .
  • FIG. 2 is an illustration of an example of a search screen for searching for a product.
  • a search screen 30 illustrated in FIG. 2 includes a keyword field 31 and a search button 32 .
  • a keyword for searching for a product is input to the keyword field 31 .
  • one keyword “ABC” is input to the keyword field 31 .
  • This word is a keyword for searching for a product manufactured by, for example, ABC company.
  • search processing is executed and a list of products whose title or product page contains all of the keywords input to the keyword field 31 is displayed on the search screen 30 .
  • a list of product images 33 is displayed on the search screen 30 illustrated in FIG. 2 , and a title, a price, and the like of a product are omitted.
  • the product image 33 is an image registered by each store in advance.
  • the store uses an image provided by a manufacturer of a product as the product image 33 .
  • the same product may be sold by more than one store, but it is often the case that the product images 33 of the same product are often the same or similar with each other.
  • the product images 33 are registered by each store, and thus there is a case that the product images 33 of the same product are not the same or a similar with each other.
  • a character string such as “free shipping” or “greatly popular”, or an ornament may be appended to the product image 33 .
  • a product screen (not shown) relating to a product associated with the product image 33 is displayed on the display unit 25 of the user terminal 20 .
  • the product screen is a screen for checking detailed information on a product or for purchasing a product.
  • the electronic commerce system 1 has a function of supporting a search for a similar product of a desired product. In the following, a description is given of this function.
  • a similar product When a similar product is searched for, the user moves a cursor 34 onto the product image 33 to select a desired product.
  • a similarity search icon 35 is displayed on the product image 33 as illustrated in FIG. 3 .
  • the similarity search icon 35 is used to give an instruction to search for a similar pro duct of the pro duct associated with the product image 33 .
  • the similarity search icon 35 When the user clicks the similarity search icon 35 , at least one of words contained in a title of the product selected by the user is acquired. Further, a search condition for searching for a similar product is set based on the acquired word. Then, a search is executed based on the search condition and a list of products acquired by the search is displayed on the search screen 30 .
  • FIG. 4 is an illustration of an example of the search screen 30 in this case.
  • three keywords namely, “violet”, “tote bag”, and “ABC” are input to the keyword field 31 .
  • Those keywords are acquired from the title of the product selected by the user. Note that, in this case, a list of the product images 33 of products whose title or product page contains all of the above-mentioned three keywords is displayed on the search screen 30 .
  • the electronic commerce system 1 it is configured to lower a possibility that a word unnecessary for searching for a similar product is set as the keyword. In the following, a description is given of a configuration for realizing this.
  • FIG. 5 is an illustration of an example of a product information table.
  • the product information table shows information on product s sold at each store.
  • the product information table shown in FIG. 5 contains “store ID”, “product ID”, “title”, “price”, “product image”, and “product page” fields.
  • the “store ID” field shows a store ID of a store.
  • the store ID is identification information for uniquely identifying a store.
  • the “product ID” field shows a product ID of a product sold in a store.
  • the product ID is identification information for uniquely identifying a product. Even when different stores sell the same products, the same product ID is appended to those products.
  • the “title” field shows a title (name) of a product registered by a store.
  • each store registers a title of a product.
  • Each store tends to include various keywords in a title of a product in order for the product to match various search keywords.
  • FIG. 5 numerous words are contained in a title of a product. Those numerous words contain a word that has low relevance to product-specific characteristics (that is, a word that is not beneficial for searching for a similar product) as well as a word that has high relevance to product-specific characteristics (that is, a word that is beneficial for searching for a similar product).
  • the “price” field shows a selling price of a product registered by a store.
  • each store is allowed to register a selling price of a product.
  • the “product image” field shows link information to a product image registered by a store.
  • the “product page” field shows link information to a product page registered by a store.
  • FIG. 6 is a functional block diagram for illustrating functional blocks implemented in the electronic commerce system 1 .
  • the electronic commerce system 1 includes an item extraction unit 40 (item extraction means), a word acquisition unit 42 (word acquisition means), a search condition setting unit 44 (search condition setting means), and a search execution unit 46 (search execution means).
  • Those functional blocks are implemented by the server 10 or the user terminal 20 .
  • a description is given of a case where those functional blocks are implemented by the server 10 (search condition setting device). That is, a description is given of a case where the control unit 11 of the server 10 executes processing in accordance with a program to thereby function as the item extraction unit 40 , the word acquisition unit 42 , the search condition setting unit 44 , and the search execution unit 46 .
  • the item extraction unit 40 extracts, when the user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user.
  • an “item” is a thing that can be a search object, and refers to, for example, a product or a service.
  • the item extraction unit 40 extracts an item that is not the same as and is not similar to the item selected by the user from among items that are not selected by the user. That is, the item extraction unit 40 does not extract an item that is the same as the item selected by the user or an item that is similar to the item selected by the user.
  • the list of products displayed on the search screen 30 corresponds to an example of the “list of items”. Further, the product selected by the user corresponds to an example of the “item selected by the user”.
  • the item extraction unit 40 extracts a product that is not the same as and is not similar to the product selected by the user (hereinafter referred to as “dissimilar product”) from among products that are not selected by the user. Note that, such a dissimilar product is extracted from among products displayed on the search screen 30 .
  • the item extraction unit 40 regards, as a dissimilar product, a product associated with a product image that is not the same as and is not similar to the product image associated with the product selected by the user. Thus, the item extraction unit 40 extracts, from among products that are not selected by the user, a product associated with a product image that is not the same as and is not similar to the product image associated with the product selected by the user.
  • the item extract ion unit 40 acquires similarity degrees between the product image of the product selected by the user and the product images of products that are not selected by the user.
  • This similarity degree is calculated using a known method.
  • the above-mentioned similarity degrees may be calculated for all the products that are not selected by the user among products displayed on the search screen 30 .
  • the above-mentioned similarity degrees may be calculated for products that are not selected by the user among products displayed within a predetermined range from a display position of the product selected by the user.
  • the item extraction unit 40 extracts products whose similarity degrees are less than a threshold value from among products that are not selected by the user.
  • the item extraction unit 40 may extract a predetermined number of products in an order starting from a product having the lowest similarity degree from among products that are not selected by the user. For example, the item extraction unit 40 may extract products having the lowest to n-th lowest similarity degrees from among products that are not selected by the user. In another case, the item extraction unit 40 may extract a product having the lowest similarity degree from among products that are not selected by the user.
  • the word acquisition unit 42 acquires a word that is contained in text information associated with the item selected by the user and not contained in text information associated with an item extracted by the item extraction unit 40 .
  • the title of a product corresponds to an example of the “text information”. That is, the word acquisition unit 42 acquires the title of the product selected by the user and the title of the product extracted by the item extraction unit 40 . Then, the word acquisition unit 42 acquires words that are contained in the respective titles through natural language processing.
  • the word acquisition unit 42 excludes a word containing a number from the words that are acquired from the respective titles. For example, a word indicating discount information is not a word indicating a product-specific characteristic, and thus this word is not beneficial for searching for a similar product.
  • the word acquisition unit 42 excludes a word containing a number, to thereby exclude a word indicating such discount information.
  • the word acquisition unit 42 acquires a word that is contained in the title of the product selected by the user and not contained in the title of the product extracted by the item extraction unit 40 .
  • the word acquisition unit 42 determines whether or not a word indicating a category name of a product is contained in the title of the product selected by the user. This determination is executed based on dictionary data in which category names are registered. When the category is registered in association with the product ID, this information may be utilized.
  • the word acquisition unit 42 determines whether or not a word indicating a brand name of a product is contained in the title of the product selected by the user. This determination is executed based on dictionary data in which brand names are registered.
  • the word acquisition unit 42 acquires words as given below.
  • the search condition setting unit 44 sets a search condition for searching for an item similar to the item selected by the user based on the word that is acquired by the word acquisition unit 42 .
  • the search condition setting unit 44 sets a search condition so as to contain this one word.
  • the search condition setting unit 44 sets a search condition so as to contain those plurality of words concatenated with an AND condition.
  • a search condition is set as below, for example.
  • the search condition setting unit 44 may include a keyword input to the keyword field 31 of the search screen 30 in the search condition. Further, the search condition setting unit 44 may relatively increase the weight of the word acquired by the word acquisition unit 42 . That is, the search condition setting unit 44 may include, in the search condition, not only the word acquired by the word acquisition unit 42 but also another word acquired from the title of the product selected by the user. Then, the search condition setting unit 44 may set the weight of the word acquired by the word acquisition unit 42 larger than the weight of the other word.
  • the search execution unit 46 executes a search based on the search condition set by the search condition setting unit 44 .
  • FIG. 7 is an illustration of an example of processing to be executed when the similarity search icon 35 is clicked.
  • the control unit 21 of the user terminal 20 When the similarity search icon 35 displayed on the product image 33 is clicked, as illustrated in FIG. 7 , the control unit 21 of the user terminal 20 notifies the server 10 of the product selected by the user (that is, the product corresponding to the product image 33 ), to thereby request a search for a similar product (S 101 ). In this case, for example, the store ID and the product ID of the product selected by the user are transmitted to the server 10 .
  • the control unit 11 of the server 10 looks for a dissimilar product of the product selected by the user (S 102 ). That is, the control unit 11 looks for a product associated with a product image that is not the same as and is not similar to the product image of the product selected by the user.
  • Step S 101 a list of products displayed on the search screen 30 (in another case, a list of products displayed on display unit 25 ) is transmitted to the server 10 , and the control unit 11 looks for a dissimilar product of the product selected by the user among products displayed on the search screen 30 (in another case, products displayed on display unit 25 ). Note that, the control unit 11 may look for a dissimilar product of the product selected by the user among products stored in the database 15 .
  • Step S 102 the control unit 11 acquires the title of the product selected by the user and the title of the dissimilar product found in Step S 102 (S 103 ). Then, the control unit 11 acquires a word that is contained in the title of the product selected by the user and not contained in the title of the dissimilar product found in Step S 102 (S 104 ). Note that, the control unit 11 excludes a word containing a number. Further, when a word indicating a category name of a product and a word indicating a brand name of a product are contained in the title of the product selected by the user, the control unit 11 acquires those words as well.
  • the control unit 11 sets the search condition based on the words acquired in Step S 104 (S 105 ). Further, the control unit 11 executes a search based on the search condition set in Step S 105 (S 106 ). In this case, a list of products whose title or product page contains all of the words acquired in Step S 104 is acquired as a search result.
  • Step S 106 the control unit 11 transmits search result data indicating the search result to the user terminal 20 (S 107 ).
  • the control unit 21 of the user terminal 20 updates the search screen 30 based on this search result data (S 108 ). In this case, the list of products acquired as the search result is displayed on the search screen 30 . Further, the words contained in the search condition set in Step S 105 are displayed in the keyword field 31 .
  • a word that is contained in the title of the product selected by the user and not contained in the title of the dissimilar product of the product selected by the user are acquired.
  • a word indicating characteristics of the dissimilar product of the product are excluded from the words contained in the title of the product selected by the user, and thus the word acquired as described above are more likely to be a word having high relevance to characteristics specific to the product selected by the user (that is, a word beneficial for searching for similar product).
  • the search condition for searching for a similar pro duct of the product selected by the user is set based on the word acquired as described above.
  • the search condition is more likely to contain a word having high relevance to the characteristics specific to the product selected by the user, and on the other hand the search condition is less likely to contain a word having low relevance to the characteristics specific to the product selected by the user. That is, the accuracy of the search condition for searching for a similar product of the product selected by the user is improved.
  • the item extraction unit 40 is not limited to the one described above.
  • the item extraction unit 40 may extract a product having a product ID different from the product ID of the product selected by the user as the dissimilar product of the product selected by the user. In this manner, the dissimilar product of the product selected by the user may be extracted.
  • the overall configuration of an electronic commerce system 1 according to the second embodiment of the present invention is the same as that of the first embodiment (refer to FIG. 1 ). Further, also in the electronic commerce system 1 according to the second embodiment, the same search screen 30 as that of the first embodiment is displayed (refer to FIG. 2 to FIG. 4 ), and the same data as that of the first embodiment is stored (refer to FIG. 5 ).
  • the electronic commerce system 1 includes the item extraction unit 40 (item extraction means), the word acquisition unit 42 (word acquisition means), the search condition setting unit 44 (search condition setting means), and the search execution unit 46 (search execution means) (refer to FIG. 6 ).
  • the operation of the functional blocks other than the item extraction unit 40 is the same as that of the first embodiment, and thus a description thereof is omitted here.
  • the item extraction unit 40 in the second embodiment is the same as the item extraction unit 40 in the first embodiment in that the item extraction unit 40 in the second embodiment extracts at least one item from among items that are not selected by the user.
  • the item extract ion unit 40 in the second embodiment is different from the item extraction unit 40 in the first embodiment in the following point.
  • the item extraction unit 40 in the second embodiment extracts at least one item from among items that are not selected by the user based on degrees of separation between a display position on the screen of the item selected by the user and display positions on the screen of items that are not selected by the user.
  • the item extraction unit 40 extracts items whose degrees of separation from the display position of the item selected by the user are less than a predetermined degree from among items that are not selected by the user.
  • the item extraction unit 40 extracts products (product images 33 ) whose distances from the product (product image 33 ) selected by the user are less than a threshold value. For example, the item extraction unit 40 extracts products (product images 33 ) displayed adjacent to the product (product image 33 ) selected by the user.
  • the word acquisition unit 42 acquires a word that is contained in the title of the product selected by the user and not contained in the titles of the products displayed adjacent to the product selected by the user. Then, the search condition setting unit 44 sets the search condition based on such a word.
  • “Products displayed close to the product selected by the user among products that are not selected by the user” are highly likely to be “products which have been seen by the user but to which the user has no interest”.
  • a word indicating characteristics of products to which the user has no interest is excluded from words contained in the title of the product selected by the user.
  • the word acquired by the word acquisition unit 42 is more likely to be a word having high relevance to the characteristics specific to the product to which the user has an interest (that is, a word beneficial for searching for similar product).
  • the search condition is more likely to contain a word having high relevance to the characteristics specific to the product selected by the user, whereas the search condition is less likely to contain a word having low relevance to the characteristics specific to the product selected by the user.
  • Step S 102 for example, products displayed adjacent to the product selected by the user are extracted.
  • the overall configuration of an electronic commerce system 1 according to the third embodiment of the present invention is the same as that of the first embodiment (refer to FIG. 1 ). Further, also in the electronic commerce system 1 according to the third embodiment, the same search screen 30 as that of the first embodiment is displayed (refer to FIG. 2 to FIG. 4 ), and the same data as that of the first embodiment is stored (refer to FIG. 5 ).
  • FIG. 8 is a functional block diagram for illustrating functional blocks implemented in the electronic commerce system 1 according to the third embodiment.
  • the electronic commerce system 1 includes the item extraction unit 40 (item extraction means), the word acquisition unit 42 (word acquisition means), a duplicate word acquisition unit 43 (duplicate word acquisition means), the search condition setting unit 44 (search condition setting means), and the search execution unit 46 (search execution means).
  • the functional block diagram of FIG. 8 is different from that of FIG. 6 in that the functional block diagram of FIG. 8 includes the duplicate word acquisition unit 43 .
  • the item extraction unit 40 is the same as the item extraction unit 40 in the first embodiment or in the second embodiment. Further, the word acquisition unit 42 is the same as that of the first embodiment and the second embodiment. Thus, a description thereof is omitted here.
  • the duplicate word acquisition unit 43 acquires, from among words contained in text information associated with the item selected by the user, a word (a duplicate word) that has meanings that is the same as or is similar to that of a word contained in text information associated with an item associated with an image that is the same as or is similar to an image associated with the item selected by the user.
  • the duplicate word acquisition unit 43 acquires, from among words contained in the title of the product selected by the user, a word (a duplicate word) that has meanings that is the same as or is similar to that of a word contained in the title of the product of a product image (hereinafter referred to as “similar product image”) that is the same as or is similar to a product image of the product selected by the user.
  • a word a duplicate word that has meanings that is the same as or is similar to that of a word contained in the title of the product of a product image (hereinafter referred to as “similar product image”) that is the same as or is similar to a product image of the product selected by the user.
  • the duplicate word acquisition unit 43 acquires words contained in respective titles. Further, the duplicate word acquisition unit 43 excludes a word containing a number from the words acquired from the respective titles. After that, the duplicate word acquisition unit 43 acquires a duplicate word from those titles.
  • the search condition setting unit 44 sets the search condition for searching for an item similar to the item selected by the user based on the word acquired by the word acquisition unit 42 and the duplicate word acquired by the duplicate word acquisition unit 43 .
  • words and duplicate words as given below are acquired by the word acquisition unit 42 and the duplicate word acquisition unit 43 .
  • Word acquisition unit 42 “violet”, “tote bag”, “ABC”
  • Duplicate word acquisition unit 43 “ABC”, “X series”, “violet”
  • the search condition setting unit 44 sets a search condition as given below, for example.
  • the search condition setting unit 44 may relatively increase the weight of the word and the duplicate word acquired by the word acquisition unit 42 and the duplicate word acquisition unit 43 . That is, the search condition setting unit 44 may include, in the search condition, not only the word and the duplicate word acquired by the word acquisition unit 42 and the duplicate word acquisition unit 43 but also another word acquired from the title of the product selected by the user. Further, the search condition setting unit 44 may set the weight of the word and the duplicate word acquired by the word acquisition unit 42 and the duplicate word acquisition unit 43 larger than the weight of the other word.
  • the search execution unit 46 is the same as that of the first embodiment and the second embodiment. Thus, a description thereof is omitted here.
  • FIG. 9 is an illustration of an example of processing to be executed in the electronic commerce system 1 according to the third embodiment. As with FIG. 7 , FIG. 9 is an illustration of an example of processing to be executed when the similarity search icon 35 is clicked.
  • Steps S 201 to S 204 of FIG. 9 are the same as Steps S 101 to S 104 of FIG. 7 . Thus, a description thereof is omitted here.
  • Step S 204 the control unit 11 acquires a word (a duplicate word) contained duplicately in the titles acquired in Step S 203 (S 205 ). Note that, in this case, the control unit 11 excludes a word including a number.
  • Step S 205 the control unit 11 sets the search condition based on the word acquired in Step S 204 and the duplicate word acquired in Step S 205 (S 206 ). Then, the control unit 11 executes a search based on the search condition set in Step S 206 (S 207 ).
  • Step S 207 the control unit 11 transmits the search result data indicating the search result to the user terminal 20 (S 208 ). Then, the control unit 21 of the user terminal 20 updates the search screen 30 based on the search result data (S 209 ).
  • a word (a duplicate word) that has a meaning that is the same as or is similar to that of a word contained in the title of the product of a product image that is the same as or is similar to a product image of the product selected by the user among words contained in the title of the product selected by the user is acquired.
  • the search condition for searching for a similar product of the product selected by the user is set based on the duplicate word.
  • the duplicate word as described above is highly likely to be a word indicating characteristics specific to the product selected by the user and the similar product.
  • the search condition is more likely to contain a word having high relevance to the characteristics specific to the product selected by the user. That is, the accuracy of the search condition for searching for a similar product can be improved.
  • the duplicate word acquisition unit 43 is not limited to the one described above.
  • the duplicate word acquisition unit 43 may acquire a word (a duplicate word) that has a meaning that is the same as or is similar to that of a word contained in text information associated with an item associated with identification information that is the same as or is similar to identification information associated with the item selected by the user among words contained in text information associated with an item selected by a user.
  • a word a duplicate word
  • the duplicate word acquisition unit 43 may acquire a word (a duplicate word) that has a meaning that is the same as or is similar to that of a word contained in a title of a product associated with the same product ID as the product ID of the product selected by the user among words contained in the title of the product selected by the user.
  • the duplicate word acquired as above is also highly likely to be a word indicating characteristics specific to the product selected by the user.
  • the duplicate word acquisition unit 43 may acquire, when a plurality of items are selected by the user, a word (a duplicate word) that corresponds to words whose meanings are the same or similar with each other and which are contained duplicately in pieces of text information associated with the plurality of items selected by the user.
  • the duplicate word acquisition unit 43 may acquire, when a plurality of products are selected by the user, a word (a duplicate word) that corresponds to words whose meanings are the same or similar with each other and which are contained duplicately in the titles of the plurality of products selected by the user.
  • the duplicate word thus acquired is highly likely to be a word indicating common characteristics of the plurality of products selected by the user.
  • the search condition contains a word having high relevance to the common characteristics of the plurality of products selected by the user. That is, it is possible to improve the accuracy of the search condition for searching for a similar product.
  • the overall configuration of an electronic commerce system 1 according to the fourth embodiment of the present invention is the same as that of the first embodiment (refer to FIG. 1 ). Further, also in the electronic commerce system 1 according to the fourth embodiment, the same search screen 30 as that of the first embodiment is displayed (refer to FIG. 2 to FIG. 4 ), and the same data as that of the first embodiment is stored (refer to FIG. 5 ).
  • FIG. 10 is a functional block diagram for illustrating functional blocks implemented in the electronic commerce system 1 according to the fourth embodiment.
  • the electronic commerce system 1 includes an item extraction unit 50 (item extraction means), a category comparison unit 52 (category comparison means), a search condition setting unit 54 (search condition setting means), and a search execution unit 56 (search execution means).
  • Those functional blocks are implemented by the server 10 or the user terminal 20 .
  • a description is given of a case where those functional blocks are implemented by the server 10 (search condition setting device). That is, a description is given of a case where the control unit 11 of the server 10 executes processing in accordance with a program to thereby function as the item extraction unit 50 , the category comparison unit 52 , the search condition setting unit 54 , and the search execution unit 56 .
  • the item extraction unit 50 extracts, when the user selects an item from a list of items to be selected by the user, at least one item from among items that are not selected by the user.
  • the operation of the item extraction unit 50 is similar to that of the item extraction unit 40 in the first to third embodiments. That is, the item extraction unit 50 extracts a product that is not the same as and is not similar to the product selected by the user (hereinafter referred to as “dissimilar product”) from among products that are not selected by the user. Note that, this kind of dissimilar product is extracted from among products that have been displayed on the search screen 30 .
  • the item extraction unit 50 regards, as the dissimilar product, a product associated with a product image that is not the same as and is not similar to the product image associated with the product selected by the user.
  • the item extraction unit 50 extracts, from among products that are not selected by the user, a product associated with a product image that is not the same as and is not similar to the product image associated with the product selected by the user.
  • the item extraction unit 50 may extract, as the dissimilar product of the product selected by the user, a product having a product ID different from the product ID of the product selected by the user.
  • the category comparison unit 52 compares the category of the item selected by the user and the category of the item extracted by the item extraction unit 50 with each other.
  • the category comparison unit 52 compares the category of the product selected by the user and the category of the product extracted by the item extraction unit 50 .
  • the category of the product is acquired from the title of the product. That is, it is determined whether or not the title of the product contains a word registered in dictionary data in which words indicating category names are registered. Then, when such a word is contained in the title of the product, the word is acquired as the category of the product.
  • this information may be used. That is, the category of the product may be acquired by acquiring the category associated with the product ID of the product.
  • the search condition setting unit 54 sets, when the category of the item selected by the user is different from the category of the item extracted by the item extraction unit 50 , a search condition for searching for an item similar to the item selected by the user among items that do not belong to the category of the item extracted by the item extraction unit 50 .
  • the search condition setting unit 54 sets, when the category of the product selected by the user is different from the category of the product extracted by the item extraction unit 50 , a search condition for searching for a product similar to the product selected by the user among products that do not belong to the category of the product extracted by the item extraction unit 50 .
  • the search execution unit 56 executes a search based on the search condition set by the search condition setting unit 54 .
  • FIG. 11 is an illustration of an example of processing to be executed in the electronic commerce system 1 according to the fourth embodiment.
  • FIG. 11 is an illustration of an example of processing to be executed when the similarity search icon 35 is clicked.
  • Steps S 301 and S 302 of FIG. 11 are the same as Steps S 101 and S 102 of FIG. 7 . Thus, a description thereof is omitted here.
  • Step S 302 the control unit 11 acquires the category of the product selected by the user and the category of the dissimilar product found in Step S 302 (S 303 ). For example, the control unit 11 acquires the category of the product selected by the user by extracting a word indicating the category name from the title of the product selected by the user. In another case, the control unit 11 acquires the category of the product selected by the user by acquiring the category associated with the product ID of the product selected by the user. In the same manner, the control unit 11 also acquires the category of the dissimilar product found in Step S 302 .
  • Step S 303 the control unit 11 compares the category of the product selected by the user and the category of the dissimilar product found in Step S 302 (S 304 ). Then, the control unit 11 sets the search condition based on the comparison result of Step S 304 (S 305 ).
  • the control unit 11 excludes a product that belongs to the category of the dissimilar product found in Step S 302 from the search objects. That is, the control unit 11 sets a search condition for searching for a similar product of the product selected by the user from among products that do not belong to the category of the dissimilar product found in Step S 302 .
  • the control unit 11 does not exclude a product that belongs to the category of the dissimilar product found in Step S 302 from the search objects.
  • Step S 305 the control unit 11 executes a search based on the search condition set in Step S 304 (S 306 ). Then, the control unit 11 transmits the search result data indicating the search result to the user terminal 20 (S 307 ). Then, the control unit 21 of the user terminal 20 updates the search screen 30 based on the search result data (S 308 ).
  • the search condition setting unit 44 may set, based on the word acquired by the word acquisition unit 42 , the search condition for searching for a similar product of the product selected by the user among products that do not belong to the category of the product extracted by the item extraction unit 40 (item extraction unit 50 ).
  • the search condition setting unit 44 may set, based on the word acquired by the word acquisition unit 42 and the duplicate word acquired by the duplicate word acquisition unit 43 , the search condition for searching for a similar product of the product selected by the user among products that do not belong to the category of the product extracted by the item extraction unit 40 (item extraction unit 50 ).
  • the first to third embodiments and the fourth embodiment are the same in the following point. That is, the first to third embodiments and the fourth embodiment are the same in that the text information of the product selected by the user (e.g., title or category) and the text information of the product that is not the same as and is not similar to the product selected by the user (dissimilar product) are compared with each other and then the search condition for searching for a similar product of the product selected by the user is set in consideration of those differences.
  • the text information of the product selected by the user e.g., title or category
  • the search condition for searching for a similar product of the product selected by the user is set in consideration of those differences.
  • the above-mentioned differences indicate the characteristics specific to the product selected by the user and the characteristics specific to the dissimilar product, respectively, and thus the first to third embodiments and the fourth embodiment are the same in that the characteristics specific to the product selected by the user are contained in the search condition and the characteristics specific to the dissimilar product are excluded from the search condition in consideration of the above-mentioned differences.
  • a dictionary blacklist in which words that should not be contained in the search condition such as “free shipping” are registered may be stored in the database 15 and the like. Further, the search condition may be configured not to contain a word registered in such a dictionary.
  • a dictionary in which synonyms such as “shoulder bag” and “over-the-shoulder bag” are registered may be stored in the database 15 and the like. Further, it may be configured to acquire synonyms of the duplicate word based on such a dictionary and include the duplicate word and the synonyms concatenated with an OR condition in the search condition.
  • processing may be executed in advance to determine whether or not product images are the same or similar with each other and then data indicating the determination result may be stored in the database 15 . That is, data indicating a combination of products whose product images are the same or similar with each other may be stored in the database 15 in advance. In this manner, it is possible to reduce the processing load of Step S 102 ( FIG. 7 ) and Step S 202 ( FIG. 9 ).
  • the color “yellow” is considered to have a significance for the user.
  • the word “yellow” may be preferentially included in the search condition or the weight of the word “yellow” in the search condition may be set larger than those of other words.
  • the shape of “tote bag” is considered to have significance for the user.
  • the word “tote bag” may be preferentially included in the search condition or the weight of the word “tote bag” in the search condition may be set larger than those of other words.
  • a word indicating an attribute that can be recognized by the user from the product image such as a color or a shape such kind of a word may be preferentially included in the search condition or the weight of the word in the search condition may be set larger than those of other words. In this manner, it is possible to further improve the accuracy of the search condition for searching for a similar product of the product selected by the user.
  • the control unit 21 of the user terminal 20 may execute all or a part of Steps S 102 to S 106 ( FIG. 7 ). That is, the user terminal 20 may implement all or a part of the functional blocks illustrated in FIG. 6 . Note that, in this case, data necessary for executing Steps S 102 to S 106 needs to be stored in a storage unit accessible from the control unit 21 . In another case, the database 15 may be configured to be accessible from the user terminal 20 .
  • control unit 21 of the user terminal 20 may execute all or a part of Steps S 202 to S 207 ( FIG. 9 ). That is, the user terminal 20 may implement all or a part of the functional blocks illustrated in FIG. 8 .
  • control unit 21 of the user terminal 20 may execute all or a part of Steps S 302 to S 306 ( FIG. 11 ). That is, the user terminal 20 may implement all or a part of the functional blocks illustrated in FIG. 10 .
  • data such as electronic book data, music data, and video data may be sold as a product as well as things such as a bag and a drink.
  • a service may be sold as well as a product.
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